Data Hero 4 U

Wednesday, August 02, 2017

Spring Boot With Embedded MongoDB

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Spring Boot With Embedded MongoDB

Recently, we’ve seen a rise in popularity of NoSQL databases. MongoDB has rapidly gained popularity in the enterprise and the Spring community.

While developing and testing Spring Boot applications with MongoDB as the data store, it is common to use the lightweight Embedded MongoDB rather than running a full-fledged server. As the embedded MongoDB runs in memory, it is blazing fast and will save you lot of time during both development and when running your tests whether it's in your development machine or a CI server.

How to Create Trust Between AWS Managed Active Directory and On-Premises Active Directory

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How do I mount Amazon S3 buckets on an AWS Snowball Edge device to my computer?

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#Data -How do I mount Amazon S3 buckets on an AWS Snowball Edge device to my computer?

Group Replication: The Sweet and the Sour

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Group Replication: The Sweet and the Sour

In the last few months, we had two main actors in the MySQL ecosystem: ProxySQL and Group Replication (with the evolution to InnoDB Cluster).

While I have extensively covered the first, my last serious work on Group Replication dates back to some lab version years past.

How Might Classification and Better Documentation Improve Data Safety?

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How Might Classification and Better Documentation Improve Data Safety?

You may have read recently about how we’ve spent the last month exploring the theme of data classification in Foundry, Redgate’s R&D division. SQL Atlas is our imagined solution to the challenges you’ve been telling us about during this research.

So, What’s the Problem?

All companies and organizations that exist collect data in some way, shape, or form. We rely on this data to be able to provide our products and services to our customers. Crucially, we’ve also realized it’s got additional value.

How to Interact With a Database Using Promises in Node.js

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How to Interact With a Database Using Promises in Node.js

The first two patterns we looked at in this series were Node.js callbacks and the Async module. While effective, those patterns are not the only ways of writing asynchronous code. Patterns built around concepts such as “deferreds” and “promises” were first introduced to the JavaScript community via third-party libraries like Q and Bluebird. Over time a native implementation of promises was added to ECMAScript, then implemented in V8, and later integrated into Node.js.

Promises are important to learn because many modules use them in their APIs. Also, they are integral to async functions, which I’ll cover in the next part of the series. This post will cover the basics of promises and demonstrate how they can be used to construct asynchronous applications.

Tuesday, August 01, 2017

Microsoft Stream: Learn how to organize videos and manage with channels and groups

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#Data -Microsoft Stream: Learn how to organize videos and manage with channels and groups

AWS Chicago Summit 2017: Deep Dive on AWS Management Tools

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Power BI Premium resources and external users

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What's It Like to Be a Solution Architect at AWS? Hear from Our Very Own.

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#Data -What's It Like to Be a Solution Architect at AWS? Hear from Our Very Own.

AWS KC Videos: How do I migrate to Amazon RDS for MySQL using AWS DMS?

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#Data -AWS KC Videos: How do I migrate to Amazon RDS for MySQL using AWS DMS?

Modernizing .NET and SQL Server Development and Testing

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Modernizing .NET and SQL Server Development and Testing

Last fall, Microsoft released Windows Server 2016 with Docker container support, marking the first shared API for containers with AWS and Red Hat. Since then, Microsoft has emphasized the use of containers for development and test on SQL Server 2017.

Windocks has a lower profile than Microsoft, but we actually were first to market with our port of Docker’s open source for Windows in April of 2016. Windocks includes broader support of the Windows OS family (Windows Server 2012 and 2016), and for SQL Server with all editions of SQL Server 2008 onward. Importantly, Windocks is an easy addition to existing systems and uses existing Microsoft licenses.

Brad Anderson's Lunch Break / s6 e1 / PJ Hough, Chief Product Officer, Citrix

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#Data -Brad Anderson's Lunch Break / s6 e1 / PJ Hough, Chief Product Officer, Citrix

From MySQL to Amazon Aurora: Different Methods of Data Migration

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From MySQL to Amazon Aurora: Different Methods of Data Migration

Amazon Aurora, a simple and cost-effective relational database engine, is used to set up, operate, and scale MySQL deployments. It possesses the speed and reliability of high-end commercial databases, provides faster recovery from instance failure, has a consitently lower impact on Primary replicas, and is compatible with InnoDB engine and Aurora I/O mechanisms (16K for read and 4K for write — and all can be batched if smaller).

In this blog, let's discuss launching Amazon Aurora DB Cluster and various ways of migrating data from MySQL to Amazon Aurora DB Cluster.

Using Quartz for Scheduling With MongoDB

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Using Quartz for Scheduling With MongoDB

I am sure most of us have used the Quartz library to handle scheduled activity within our projects. Although I have interacted with the library quite often in the past, it was the first time I had to use Quartz with MongoDB.

By default, Quartz only provides support for traditional relational databases. Browsing through, I stumbled upon this GitHub repository by Michael Klishin that provides a MongoDB implementation of the Quartz library in a clustered environment.

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